TY - JOUR
T1 - Critical Trio Exome Benefits In-Time Decision-Making for Pediatric Patients with Severe Illnesses∗
AU - Wu, En Ting
AU - Hwu, Wuh Liang
AU - Chien, Yin Hsiu
AU - Hsu, Ching
AU - Chen, Ting Fu
AU - Chen, Nai Qi
AU - Chou, Hung Chieh
AU - Tsao, Po Nien
AU - Fan, Pi Chuan
AU - Tsai, I. Jung
AU - Lin, Shuan Pei
AU - Hsieh, Wu Shiun
AU - Chang, Tung Ming
AU - Chen, Chi Nien
AU - Lee, Chen Hao
AU - Chou, Yen Yin
AU - Chiu, Pao Chin
AU - Tsai, Wen Hui
AU - Hsiung, Hann Chang
AU - Lai, Feipei
AU - Lee, Ni Chung
N1 - Funding Information:
1Department of Paediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan. 2Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan. 3Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan. 4Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan. 5Department of Pediatrics, Cathay General Hospital, Taipei, Taiwan. 6Department of Pediatrics, Changhua Christian Hospital, Changhua, Taiwan. 7Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan. 8Department of Pediatrics, National Taiwan University Hospital, Hsin-Chu Branch, Hsinchu, Taiwan. 9Department of Pediatrics, E-Da Hospital, Kaohsiung, Taiwan. 10Department of Pediatrics, National Cheng Kung University Hospital, Tainan, Taiwan. 11Department of Pediatrics, Kaohsiung Veterans General Hospital, Kao-hsiung, Taiwan. 12Department of Pediatrics, Chi Mei Medical Center, Tainan, Taiwan. 13Information Technology Office, National Taiwan University Hospital, Taipei, Taiwan. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/pccmjournal). Supported, in part, by the Ministry of Science and Technology, R.O.C., under grant number MOST 106-3114-B-002-009-. Dr. Hwu’s institution received funding from Ministry of Science and Technology. Miss. Chen disclosed work for hire. The remaining authors have disclosed that they do not have any potential conflicts of interest. For information regarding this article, E-mail: [email protected] Copyright © 2019 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies DOI: 10.1097/PCC.0000000000002068
Publisher Copyright:
© 2019 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Objectives: Critical illnesses caused by undiagnosed genetic conditions are challenging in PICUs. Whole-exome sequencing is a powerful diagnostic tool but usually costly and often fail to arrive at a final diagnosis in a short period. We assessed the feasibility of our whole-exome sequencing as a tool to improve the efficacy of rare diseases diagnosis for pediatric patients with severe illness. Design: Observational analysis. Method: We employed a fast but standard whole-exome sequencing platform together with text mining-assisted variant prioritization in PICU setting over a 1-year period. Setting: A tertiary referral Children's Hospital in Taiwan. Patients: Critically ill PICU patients suspected of having a genetic disease and newborns who were suspected of having a serious genetic disease after newborn screening were enrolled. Interventions: None. Measurements and Main Results: Around 50,000 to 100,000 variants were obtained for each of the 40 patients in 5 days after blood sampling. Eleven patients were immediately found be affected by previously reported mutations after searching mutation databases. Another seven patients had a diagnosis among the top five in a list ranked by text mining. As a whole, 21 patients (52.5%) obtained a diagnosis in 6.2 ± 1.1 working days (range, 4.3-9 d). Most of the diagnoses were first recognized in Taiwan. Specific medications were recommended for 10 patients (10/21, 47.6%), transplantation was advised for five, and hospice care was suggested for two patients. Overall, clinical management was altered in time for 81.0% of patients who had a molecular diagnosis. Conclusions: The current whole-exome sequencing algorithm, balanced in cost and speed, uncovers genetic conditions in infants and children in PICU, which helps their managements in time and promotes better utilization of PICU resources.
AB - Objectives: Critical illnesses caused by undiagnosed genetic conditions are challenging in PICUs. Whole-exome sequencing is a powerful diagnostic tool but usually costly and often fail to arrive at a final diagnosis in a short period. We assessed the feasibility of our whole-exome sequencing as a tool to improve the efficacy of rare diseases diagnosis for pediatric patients with severe illness. Design: Observational analysis. Method: We employed a fast but standard whole-exome sequencing platform together with text mining-assisted variant prioritization in PICU setting over a 1-year period. Setting: A tertiary referral Children's Hospital in Taiwan. Patients: Critically ill PICU patients suspected of having a genetic disease and newborns who were suspected of having a serious genetic disease after newborn screening were enrolled. Interventions: None. Measurements and Main Results: Around 50,000 to 100,000 variants were obtained for each of the 40 patients in 5 days after blood sampling. Eleven patients were immediately found be affected by previously reported mutations after searching mutation databases. Another seven patients had a diagnosis among the top five in a list ranked by text mining. As a whole, 21 patients (52.5%) obtained a diagnosis in 6.2 ± 1.1 working days (range, 4.3-9 d). Most of the diagnoses were first recognized in Taiwan. Specific medications were recommended for 10 patients (10/21, 47.6%), transplantation was advised for five, and hospice care was suggested for two patients. Overall, clinical management was altered in time for 81.0% of patients who had a molecular diagnosis. Conclusions: The current whole-exome sequencing algorithm, balanced in cost and speed, uncovers genetic conditions in infants and children in PICU, which helps their managements in time and promotes better utilization of PICU resources.
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U2 - 10.1097/PCC.0000000000002068
DO - 10.1097/PCC.0000000000002068
M3 - Article
C2 - 31261230
AN - SCOPUS:85074551376
SN - 1529-7535
VL - 20
SP - 1021
EP - 1026
JO - Pediatric Critical Care Medicine
JF - Pediatric Critical Care Medicine
IS - 11
ER -